




"""simple docstring"""




import json
import os
import re
import unicodedata
from json.encoder import INFINITY
from typing import Any, Dict, List, Optional, Tuple, Union

import numpy as np
import regex

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_flax_available, is_tf_available, is_torch_available, logging
from ...utils.generic import _is_jax, _is_numpy


lowerCAmelCase				:     str					=				logging.get_logger(__name__)

lowerCAmelCase				:     List[Any]					=				{
    """artists_file""": """artists.json""",
    """lyrics_file""": """lyrics.json""",
    """genres_file""": """genres.json""",
}

lowerCAmelCase				:     List[Any]					=				{
    """artists_file""": {
        """jukebox""": """https://huggingface.co/ArthurZ/jukebox/blob/main/artists.json""",
    },
    """genres_file""": {
        """jukebox""": """https://huggingface.co/ArthurZ/jukebox/blob/main/genres.json""",
    },
    """lyrics_file""": {
        """jukebox""": """https://huggingface.co/ArthurZ/jukebox/blob/main/lyrics.json""",
    },
}

lowerCAmelCase				:     Union[str, Any]					=				{
    """jukebox""": 512,
}






class        __magic_name__				(			UpperCAmelCase__							):






				'''simple docstring'''
				__UpperCamelCase         =		VOCAB_FILES_NAMES
				__UpperCamelCase         =		PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase         =		PRETRAINED_LYRIC_TOKENS_SIZES
				__UpperCamelCase         =		["input_ids", "attention_mask"]





				def __init__(			self						,					_a						,					_a						,					_a						,					_a=["v3", "v2", "v2"]						,					_a=512						,					_a=5						,					_a="<|endoftext|>"						,					**_a						,					):





							"""simple docstring"""
							lowerCamelCase      =   AddedToken(_a						,					lstrip=_a						,					rstrip=_a					) if isinstance(_a						,					_a					) else unk_token
							super().__init__(
							    unk_token=_a						,					n_genres=_a						,					version=_a						,					max_n_lyric_tokens=_a						,					**_a						,					)
							lowerCamelCase      =   version
							lowerCamelCase      =   max_n_lyric_tokens
							lowerCamelCase      =   n_genres

							with open(_a						,					encoding="""utf-8"""					) as vocab_handle:
										lowerCamelCase      =   json.load(_a					)

							with open(_a						,					encoding="""utf-8"""					) as vocab_handle:
										lowerCamelCase      =   json.load(_a					)

							with open(_a						,					encoding="""utf-8"""					) as vocab_handle:
										lowerCamelCase      =   json.load(_a					)

							lowerCamelCase      =   r"""[^A-Za-z0-9.,:;!?\-'\"()\[\] \t\n]+"""
							# In v2, we had a n_vocab=80 and in v3 we missed + and so n_vocab=79 of characters.
							if len(self.lyrics_encoder					) == 79:
										lowerCamelCase      =   oov.replace(r"""\-'"""						,					r"""\-+'"""					)

							lowerCamelCase      =   regex.compile(_a					)
							lowerCamelCase      =   {v: k for k, v in self.artists_encoder.items()}
							lowerCamelCase      =   {v: k for k, v in self.genres_encoder.items()}
							lowerCamelCase      =   {v: k for k, v in self.lyrics_encoder.items()}





				@property
				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							return len(self.artists_encoder					) + len(self.genres_encoder					) + len(self.lyrics_encoder					)





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							return dict(self.artists_encoder						,					self.genres_encoder						,					self.lyrics_encoder					)





				def   _lowerCAmelCase							(			self						,					_a						,					_a						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   [self.artists_encoder.get(_a						,					0					) for artist in list_artists]
							for genres in range(len(_a					)					):
										lowerCamelCase      =   [self.genres_encoder.get(_a						,					0					) for genre in list_genres[genres]]
										lowerCamelCase      =   list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres]					))

							lowerCamelCase      =   [[self.lyrics_encoder.get(_a						,					0					) for character in list_lyrics[0]], [], []]
							return artists_id, list_genres, lyric_ids





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							return list(_a					)





				def   _lowerCAmelCase							(			self						,					_a						,					_a						,					_a						,					**_a					):





							"""simple docstring"""
							lowerCamelCase ,  lowerCamelCase ,  lowerCamelCase      =   self.prepare_for_tokenization(_a						,					_a						,					_a					)
							lowerCamelCase      =   self._tokenize(_a					)
							return artist, genre, lyrics





				def   _lowerCAmelCase							(			self						,					_a						,					_a						,					_a						,					_a = False					):





							"""simple docstring"""
							for idx in range(len(self.version					)					):
										if self.version[idx] == "v3":
													lowerCamelCase      =   artists[idx].lower()
													lowerCamelCase      =   [genres[idx].lower()]
										else:
													lowerCamelCase      =   self._normalize(artists[idx]					) + """.v2"""
													lowerCamelCase      =   [
													    self._normalize(_a					) + """.v2""" for genre in genres[idx].split("""_"""					)
													]  # split is for the full dictionary with combined genres

							if self.version[0] == "v2":
										lowerCamelCase      =   regex.compile(r"""[^A-Za-z0-9.,:;!?\-'\"()\[\] \t\n]+"""					)
										lowerCamelCase      =   """ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+'\"()[] \t\n"""
										lowerCamelCase      =   {vocab[index]: index + 1 for index in range(len(_a					)					)}
										lowerCamelCase      =   0
										lowerCamelCase      =   len(_a					) + 1
										lowerCamelCase      =   self.vocab
										lowerCamelCase      =   {v: k for k, v in self.vocab.items()}
										lowerCamelCase      =   """"""
							else:
										lowerCamelCase      =   regex.compile(r"""[^A-Za-z0-9.,:;!?\-+'\"()\[\] \t\n]+"""					)

							lowerCamelCase      =   self._run_strip_accents(_a					)
							lowerCamelCase      =   lyrics.replace("""\\"""						,					"""\n"""					)
							lowerCamelCase      =   self.out_of_vocab.sub(""""""						,					_a					), [], []
							return artists, genres, lyrics





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   unicodedata.normalize("""NFD"""						,					_a					)
							lowerCamelCase      =   []
							for char in text:
										lowerCamelCase      =   unicodedata.category(_a					)
										if cat == "Mn":
													continue
										output.append(_a					)
							return "".join(_a					)





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   (
							    [chr(_a					) for i in range(ord("""a"""					)						,					ord("""z"""					) + 1					)]
							    + [chr(_a					) for i in range(ord("""A"""					)						,					ord("""Z"""					) + 1					)]
							    + [chr(_a					) for i in range(ord("""0"""					)						,					ord("""9"""					) + 1					)]
							    + ["""."""]
							)
							lowerCamelCase      =   frozenset(_a					)
							lowerCamelCase      =   re.compile(r"""_+"""					)
							lowerCamelCase      =   """""".join([c if c in accepted else """_""" for c in text.lower()]					)
							lowerCamelCase      =   pattern.sub("""_"""						,					_a					).strip("""_"""					)
							return text





				def   _lowerCAmelCase							(			self						,					_a					):





							"""simple docstring"""
							return " ".join(_a					)





				def   _lowerCAmelCase							(			self						,					_a						,					_a = None						,					_a = False					):





							"""simple docstring"""
							# Convert to TensorType
							if not isinstance(_a						,					_a					):
										lowerCamelCase      =   TensorType(_a					)

							# Get a function reference for the correct framework
							if tensor_type == TensorType.TENSORFLOW:
										if not is_tf_available():
													raise ImportError(
													    """Unable to convert output to TensorFlow tensors format, TensorFlow is not installed."""					)
										import tensorflow as tf

										lowerCamelCase      =   tf.constant
										lowerCamelCase      =   tf.is_tensor
							elif tensor_type == TensorType.PYTORCH:
										if not is_torch_available():
													raise ImportError("""Unable to convert output to PyTorch tensors format, PyTorch is not installed."""					)
										import torch

										lowerCamelCase      =   torch.tensor
										lowerCamelCase      =   torch.is_tensor
							elif tensor_type == TensorType.JAX:
										if not is_flax_available():
													raise ImportError("""Unable to convert output to JAX tensors format, JAX is not installed."""					)
										import jax.numpy as jnp  # noqa: F811

										lowerCamelCase      =   jnp.array
										lowerCamelCase      =   _is_jax
							else:
										lowerCamelCase      =   np.asarray
										lowerCamelCase      =   _is_numpy

							# Do the tensor conversion in batch

							try:
										if prepend_batch_axis:
													lowerCamelCase      =   [inputs]

										if not is_tensor(_a					):
													lowerCamelCase      =   as_tensor(_a					)
							except:  # noqa E722
										raise ValueError(
										    """Unable to create tensor, you should probably activate truncation and/or padding """
										    """with 'padding=True' 'truncation=True' to have batched tensors with the same length."""					)

							return inputs





				def __call__(			self						,					_a						,					_a						,					_a=""						,					_a="pt"					):





							"""simple docstring"""
							lowerCamelCase      =   [0, 0, 0]
							lowerCamelCase      =   [artist] * len(self.version					)
							lowerCamelCase      =   [genres] * len(self.version					)

							lowerCamelCase ,  lowerCamelCase ,  lowerCamelCase      =   self.tokenize(_a						,					_a						,					_a					)
							lowerCamelCase ,  lowerCamelCase ,  lowerCamelCase      =   self._convert_token_to_id(_a						,					_a						,					_a					)

							lowerCamelCase      =   [-INFINITY] * len(full_tokens[-1]					)
							lowerCamelCase      =   [
							    self.convert_to_tensors(
							        [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]						,					tensor_type=_a					)
							    for i in range(len(self.version					)					)
							]
							return BatchEncoding({"""input_ids""": input_ids, """attention_masks""": attention_masks}					)





				def   _lowerCAmelCase							(			self						,					_a						,					_a = None					):





							"""simple docstring"""
							if not os.path.isdir(_a					):
										logger.error(f'Vocabulary path ({save_directory}) should be a directory'					)
										return

							lowerCamelCase      =   os.path.join(
							    _a						,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""artists_file"""]					)
							with open(_a						,					"""w"""						,					encoding="""utf-8"""					) as f:
										f.write(json.dumps(self.artists_encoder						,					ensure_ascii=_a					)					)

							lowerCamelCase      =   os.path.join(
							    _a						,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""genres_file"""]					)
							with open(_a						,					"""w"""						,					encoding="""utf-8"""					) as f:
										f.write(json.dumps(self.genres_encoder						,					ensure_ascii=_a					)					)

							lowerCamelCase      =   os.path.join(
							    _a						,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""lyrics_file"""]					)
							with open(_a						,					"""w"""						,					encoding="""utf-8"""					) as f:
										f.write(json.dumps(self.lyrics_encoder						,					ensure_ascii=_a					)					)

							return (artists_file, genres_file, lyrics_file)





				def   _lowerCAmelCase							(			self						,					_a						,					_a						,					_a					):





							"""simple docstring"""
							lowerCamelCase      =   self.artists_decoder.get(_a					)
							lowerCamelCase      =   [self.genres_decoder.get(_a					) for genre in genres_index]
							lowerCamelCase      =   [self.lyrics_decoder.get(_a					) for character in lyric_index]
							return artist, genres, lyrics









"""simple docstring"""




import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin






class        __magic_name__				(			unittest.TestCase		,   UpperCAmelCase__							):






				'''simple docstring'''





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							lowerCamelCase      =   load_tool("""text-classification"""					)
							self.tool.setup()
							lowerCamelCase      =   load_tool("""text-classification"""						,					remote=_a					)





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							lowerCamelCase      =   self.tool("""That's quite cool"""						,					["""positive""", """negative"""]					)
							self.assertEqual(_a						,					"""positive"""					)





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							lowerCamelCase      =   self.remote_tool("""That's quite cool"""						,					["""positive""", """negative"""]					)
							self.assertEqual(_a						,					"""positive"""					)





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							lowerCamelCase      =   self.tool(text="""That's quite cool"""						,					labels=["""positive""", """negative"""]					)
							self.assertEqual(_a						,					"""positive"""					)





				def   _lowerCAmelCase							(			self					):





							"""simple docstring"""
							lowerCamelCase      =   self.remote_tool(text="""That's quite cool"""						,					labels=["""positive""", """negative"""]					)
							self.assertEqual(_a						,					"""positive"""					)



